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- Toujours un magasin près de chez vous
ML.Net Revealed
Simple Tools for Applying Machine Learning to Your Applications
Sudipta Mukherjee
Livre broché | Anglais
97,45 €
+ 194 points
Description
Get introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible.
Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to consume them in many application settings without having to think about the internal details. You will learn about the features that do the necessary "plumbing" that is required in a variety of machine learning problems, freeing up your time to focus on your applications. You will understand that while the infrastructure pieces may at first appear to be disconnected and haphazard, they are not.
Developers who are curious about trying machine learning, yet are shying away from it due to its perceived complexity, will benefit from this book. This introductory guide will help you make sense of it all and inspire you to try outscenarios and code samples that can be used in many real-world situations. What You Will Learn
- Create a machine learning model using only the C# language
- Build confidence in your understanding of machine learning algorithms
- Painlessly implement algorithms
- Begin using the ML.NET library software
- Recognize the many opportunities to utilize ML.NET to your advantage
- Apply and reuse code samples from the book
- Utilize the bonus algorithm selection quick references available online
Developers who want to learn how to use and apply machine learning to enrich their applications
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 174
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9781484265420
- Date de parution :
- 18-12-20
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 178 mm x 254 mm
- Poids :
- 344 g
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